| |
|
Detection of QRS complex in experimental ECG data
Brandejs, Jakub ; Harabiš, Vratislav (referee) ; Vítek, Martin (advisor)
In this paper, called Bachelor thesis, I proposed a QRS complex detector based on wavelet transformation where biorthogonal wavelet bior1.5 was applied with use of Matlab. The detector works with antisymmetry of the wavelet to detect minimum/maximum or maximum/minimum pairs and singularity between them. Results of this detector were evaluated on the CSE database. The detector was reworked to be able to detect experimental QRS complexes.
|
| |
|
Detection of QRS complex in experimental ECG data
Bucsuházy, Kateřina ; Ronzhina, Marina (referee) ; Vítek, Martin (advisor)
This Bachelor work deals with QRS complex detection. The theoretical part of the presented work is focused on summary of selected methods of QRS complex detection. There is described in detail wavelet transform, which is used for realization of QRS complex detector in Matlab. Specifically is used redundant dyadic discrete wavelet transform and biorthogonal wavelet with odd symmetry bior1.5. The algorithm was evaluated on the standard CSE database. The detector was modified to be able to detect QRS complexes in experimental data.
|
|
Software module generating "atoms" for purposes of overcomplete signal representation
Špiřík, Jan ; Průša, Zdeněk (referee) ; Rajmic, Pavel (advisor)
The aim of this master thesis is generating new "atoms'' for purposes of overcomplete signal representation for toolbox Frames in MATLAB. At first is described the principle of overcomplete systems and so-called frames. In the thesis is introduced the basic distribution of frames and conditions of their constructions. There is described the basic principle of finding the sparse solutions in overcomplete systems too. The main part is dealt with construction single functions for generating "atoms'', such as: Gabor function, B-splines, Bézier curves, Daubechies wavelets, etc. At last there is introduced an example of usage these functions for reconstruction signal in comparison with Fourier and wavelet transforms.
|
guest ::
